Tag: ai, artificial intelligence, data science, machine learning
AI in Analytics vs AI in Automation
I was talking to a business leader once. I asked him, “What’s the biggest challenge with the young professionals in AI?” The answer was,...
A look at Differential Privacy
AI is a superpower. And with power comes responsibility. This takes us into the domain of Responsible AI. In 2016, Microsoft released a bot named Tay on Twitter....
Machine Learning Deployment Strategies
A survey said that only one of eight Machine Learning models gets to production. This usually happens because of bad problem definition. We have dealt with that topic in...
How to detect Data Drift in Azure Machine Learning
This is the age of AI. Hence, you want to automate a certain business process, let’s say, for instance, email classification. So, you have built a Machine...
Why is it good to do Feature Transforms for Deep Neural Networks?
Since 2012, Deep Learning has exploded and has become synonymous with the term Artificial Intelligence and fairly so. Deep Neural Networks achieve tasks with remarkable...
Machine Learning and Human Learning
The funny thing about machine learning is that it closely seems to mimic human-learning algorithms which when studied closely(by a human:), could help him to learn even...
The Azure Machine Learning Designer
At MS Ignite this year, Azure Machine Learning Designer went GA, which is the next generation of the classic Azure ML Studio. Although it is quite similar to its...
Understanding Precision and Recall
Classification is one of the most widely used supervised Machine Learning technique. In classification, the target variable takes a limited set of values. For this...
Knowing when to consider Machine Learning
A Data Scientist is the one who not only knows how to use machine learning but the one who knows when to avoid it. Today, I will stand on the shoulder of a giant i.e....